Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
luban-cli skill
Development and management of the Luban CLI for MLOps. Use this skill when building or using the Luban CLI to manage experiment environments, training tasks, and online services.
skill openclawclawhub Free
Development and management of the Luban CLI for MLOps. Use this skill when building or using the Luban CLI to manage experiment environments, training tasks, and online services.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, templates/cli_boilerplate.py, references/mlops_guide.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- guunergooner
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Luban CLI Skill
This skill provides a structured framework for developing and using the Luban CLI, a specialized tool for MLOps management.
Core Functionality
The Luban CLI focuses on three primary MLOps pillars: Experiment Environments (env): Management of development workspaces. Training Tasks (job): Orchestration of model training workloads. Online Services (svc): Deployment and scaling of inference services.
Development Workflow
When developing or extending the Luban CLI, follow these steps: Initialize Project: Use the boilerplate in templates/cli_boilerplate.py as a starting point for the CLI structure. Define Commands: Refer to references/mlops_guide.md for the standard command patterns and required attributes for each entity. Implement CRUD: Ensure every entity (env, job, svc) supports the full lifecycle: Create: Provisioning new resources. Read: Listing and describing existing resources. Update: Modifying configurations or scaling. Delete: Cleaning up resources.
Managing Environments
luban env list luban env create --name research-v1 --image pytorch:2.0
Managing Training Jobs
luban job create --script train.py --gpu 1 luban job status --id job_001
Managing Online Services
luban svc create --model-path ./models/v1 --replicas 3 luban svc scale --id my-service --replicas 5
Resources
templates/cli_boilerplate.py: A Python-based CLI structure using argparse. references/mlops_guide.md: Detailed specifications for MLOps entities and operations.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/mlops_guide.md
- templates/cli_boilerplate.py